Tools and Services

Xcode 10

With the new Create ML framework, you can build and train your models directly within a playground in Xcode. Train, experiment, and refine your machine learning code in a super-fast workflow, using the same Swift language you'll use in an app.

Download Core ML Models

MobileNet

MobileNets are based on a streamlined architecture that have depth-wise separable convolutions to build lightweight, deep neural networks. Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, people, and more.

SqueezeNet

Detects the dominant objects present in an image from a set of 1000 categories such as trees, animals, food, vehicles, people, and more. With an overall footprint of only 5 MB, SqueezeNet has a similar level of accuracy as AlexNet but with 50 times fewer parameters.